Disclosed herein are systems and methods for providing feeding reinforcement in real-time or near real-time based on physiological sensor data acquired during feeding. In some examples, music reinforcement is rendered when one or more feeding features indicative of one or more feeding behaviors are detected using the physiological sensor data. When at least one feature is not detected, the music reinforcement is stopped. In this way, contingent reinforcement is provided in real-time or near real-time based on detection of the one or more feeding behaviors to encourage and improve independent feeding behavior.
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2. The system of claim 1, wherein the control system is further configured to, after beginning to render the audio content responsive to detecting the one or more feeding features at a first time, stop rendering the audio content responsive to not detecting any feeding features in the audio data at a second time after the first time.
5. The system of claim 1, wherein rendering the audio content via the sound rendering device responsive to detecting the one or more feeding features in the audio data comprises adjusting one or more parameters of the audio content to match a current frequency of the one or more feeding features or a desired frequency of the one or more feeding features.
6. The system of claim 1, wherein rendering the audio content via the sound rendering device responsive to detecting the one or more feeding features in the audio data comprises adjusting one or more parameters of the audio content according to the one or more feeding features, the one or more parameters including a tempo, a volume, a pitch, a meter, or any combination thereof.
7. The system of claim 1, wherein processing the audio data to detect the one or more feeding features in the audio data includes inputting at least a portion of the audio data into a machine learning algorithm that is trained to detect the one or more feeding features.
9. The system of claim 4, wherein the desired characteristic of the respective feeding feature includes a desired amplitude, a desired frequency, a desired duration, or any combination thereof.
11. The system of claim 10, wherein the respective feeding event associated with each of the one or more feeding features include a nutritive suck event, a swallow event, a nipple compression event, a feeding break event, or any combination thereof.
13. The system of claim 11, wherein the feeding pattern includes a rate of occurrence of a plurality of nutritive suck events, a plurality of swallow events, or a plurality of nipple compression events satisfying a threshold.
14. The system of claim 11, wherein the feeding pattern includes an occurrence of the nutritive suck event or the nipple compression event, and an occurrence of the swallow event within a threshold window of time following the occurrence of the nutritive suck event or the nipple compression event.
15. The system of claim 11, wherein the feeding pattern includes an occurrence of the nipple compression event, an occurrence of the nutritive suck within a first threshold window of time following the occurrence of the nipple compression event, and an occurrence of the swallow event within a second threshold window of time following the occurrence of the nutritive suck event.
16. The system of claim 10, wherein rendering the audio content via the sound rendering device responsive to identifying the feeding pattern include adjusting one or more parameters of the audio content according to one or more attributes of the feeding pattern, the one or more parameters of the audio content including a tempo, a volume, a pitch, a meter, or any combination thereof, and the one or more attributes of the feeding pattern including a frequency of the feeding pattern, an amplitude of the feeding pattern, a duration of the feeding pattern, or any combination thereof.
17. The system of claim 10, wherein the at least one audio sensor is disposed within a wearable component, the wearable component attachable to a subject.
20. The method of claim 18, further comprising identifying a feeding pattern based on the one or more feeding features, the identified feeding pattern including a first feeding pattern that includes an occurrence of the nipple compression event followed by an occurrence of the nutritive suck event followed by an occurrence of the swallow event, a second feeding pattern that includes an occurrence of the nutritive suck event or the nipple compression event followed by an occurrence of the nutritive suck event, wherein the audio content is rendered responsive to identifying the first feeding pattern, the second feeding pattern, or both.
21. The method of claim 18, wherein detecting the one or more feeding features includes (i) identifying the nutritive suck event and confirming that at least one nutritive suck attribute is greater than a nutritive suck attribute threshold, (ii) identifying the swallow event and confirming that at least one swallow attribute greater than a swallow attribute threshold, (iii) identifying the nipple compression event and confirming that at least one nipple compression attribute greater than a nipple compression threshold, or (iv) any combination of (i)-(iii).
22. The method of claim 18, wherein rendering the audio content includes adjusting one or more parameters of the audio content according to a frequency of occurrence of the one or more feeding features, the one or more parameters of the audio content including a tempo, a volume, a pitch, a meter, or any combination thereof.
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February 26, 2021
April 16, 2024
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